Optimizing Decision-Making with Algorithms

This chapter explores decision-making algorithms, particularly the 37 percent rule, which aids in making effective choices when faced with a series of options. It examines the mathematical underpinnings of this rule and its practical applications, highlighting the balance between information gathering and action. The chapter also discusses the impact of human tendencies and contextual factors on decision-making strategies, emphasizing the importance of understanding different game types in optimal stopping scenarios.